# -------------------------------------------------------------------
# Purpose: Creates Table B34
# Author:  Max Posch, 25/07/2025
# Usage:   Source this script to generate the table.
# -------------------------------------------------------------------
# Check that required paths exist
stopifnot(dir.exists(pdataconfanalysis))
stopifnot(dir.exists(pdataanalysis))
stopifnot(dir.exists(poutputappendix))


# Load data
load(file.path(pdataconfanalysis, "surnameCountyLevel19001940.RData"))
load(file.path(pdataanalysis, "countyLevel19001940.RData"))

## Drop counties with high diversity in 1900
temp <- pull(countyLevel19001940[year == 1900][entropy_namelast_mp_adjp < quantile(entropy_namelast_mp_adjp, probs = 0.95), .(gisjoin_1900)])
d1 <- surnameCountyLevel19001940[gisjoin_1900 %in% temp]
temp <- pull(countyLevel19001940[year == 1900][entropy_namelast_mp_adjp < quantile(entropy_namelast_mp_adjp, probs = 0.9), .(gisjoin_1900)])
d2 <- surnameCountyLevel19001940[gisjoin_1900 %in% temp]
temp <- pull(countyLevel19001940[year == 1900][entropy_namelast_mp_adjp < quantile(entropy_namelast_mp_adjp, probs = 0.8), .(gisjoin_1900)])
d3 <- surnameCountyLevel19001940[gisjoin_1900 %in% temp]


# Regressions
o <- list()
o <- append(o, list(feols(sum_patents_pc_1900_f_w ~ entropy_namelast_mp_adjp_ws + sum_n_namelast_mp_adjp_ws | gisjoin_1900^namelast_mp + namelast_mp^year + statefip^year + gisjoin_1900[year], d1, weights = d1$wgt_name)))
o <- append(o, list(feols(sum_patents_pc_1900_f_w ~ entropy_namelast_mp_adjp_ws + sum_n_namelast_mp_adjp_ws | gisjoin_1900^namelast_mp + namelast_mp^year + statefip^year + gisjoin_1900[year], d2, weights = d2$wgt_name)))
o <- append(o, list(feols(sum_patents_pc_1900_f_w ~ entropy_namelast_mp_adjp_ws + sum_n_namelast_mp_adjp_ws | gisjoin_1900^namelast_mp + namelast_mp^year + statefip^year + gisjoin_1900[year], d3, weights = d3$wgt_name)))
o <- append(o, list(feols(sum_break_p80_rrfsim05_pc_1900_f_w ~ entropy_namelast_mp_adjp_ws + sum_n_namelast_mp_adjp_ws | gisjoin_1900^namelast_mp + namelast_mp^year + statefip^year + gisjoin_1900[year], d1, weights = d1$wgt_name)))
o <- append(o, list(feols(sum_break_p80_rrfsim05_pc_1900_f_w ~ entropy_namelast_mp_adjp_ws + sum_n_namelast_mp_adjp_ws | gisjoin_1900^namelast_mp + namelast_mp^year + statefip^year + gisjoin_1900[year], d2, weights = d2$wgt_name)))
o <- append(o, list(feols(sum_break_p80_rrfsim05_pc_1900_f_w ~ entropy_namelast_mp_adjp_ws + sum_n_namelast_mp_adjp_ws | gisjoin_1900^namelast_mp + namelast_mp^year + statefip^year + gisjoin_1900[year], d3, weights = d3$wgt_name)))

r <- list()
r <- append(r, list(feols(sum_patents_pc_1900_f_w ~ iv_lo_entropy_namelast_mp_adjp_fe_immig_ws + iv_lo_sum_n_namelast_mp_adjp_fe_immig_tr_ws | gisjoin_1900^namelast_mp + namelast_mp^year + statefip^year + gisjoin_1900[year], d1, weights = d1$wgt_name)))
r <- append(r, list(feols(sum_patents_pc_1900_f_w ~ iv_lo_entropy_namelast_mp_adjp_fe_immig_ws + iv_lo_sum_n_namelast_mp_adjp_fe_immig_tr_ws | gisjoin_1900^namelast_mp + namelast_mp^year + statefip^year + gisjoin_1900[year], d2, weights = d2$wgt_name)))
r <- append(r, list(feols(sum_patents_pc_1900_f_w ~ iv_lo_entropy_namelast_mp_adjp_fe_immig_ws + iv_lo_sum_n_namelast_mp_adjp_fe_immig_tr_ws | gisjoin_1900^namelast_mp + namelast_mp^year + statefip^year + gisjoin_1900[year], d3, weights = d3$wgt_name)))
r <- append(r, list(feols(sum_break_p80_rrfsim05_pc_1900_f_w ~ iv_lo_entropy_namelast_mp_adjp_fe_immig_ws + iv_lo_sum_n_namelast_mp_adjp_fe_immig_tr_ws | gisjoin_1900^namelast_mp + namelast_mp^year + statefip^year + gisjoin_1900[year], d1, weights = d1$wgt_name)))
r <- append(r, list(feols(sum_break_p80_rrfsim05_pc_1900_f_w ~ iv_lo_entropy_namelast_mp_adjp_fe_immig_ws + iv_lo_sum_n_namelast_mp_adjp_fe_immig_tr_ws | gisjoin_1900^namelast_mp + namelast_mp^year + statefip^year + gisjoin_1900[year], d2, weights = d2$wgt_name)))
r <- append(r, list(feols(sum_break_p80_rrfsim05_pc_1900_f_w ~ iv_lo_entropy_namelast_mp_adjp_fe_immig_ws + iv_lo_sum_n_namelast_mp_adjp_fe_immig_tr_ws | gisjoin_1900^namelast_mp + namelast_mp^year + statefip^year + gisjoin_1900[year], d3, weights = d3$wgt_name)))

i <- list()
i <- append(i, list(feols(sum_patents_pc_1900_f_w ~ 1 | gisjoin_1900^namelast_mp + namelast_mp^year + statefip^year + gisjoin_1900[year] | entropy_namelast_mp_adjp_ws + sum_n_namelast_mp_adjp_ws ~ iv_lo_entropy_namelast_mp_adjp_fe_immig_ws + iv_lo_sum_n_namelast_mp_adjp_fe_immig_tr_ws, d1, weights = d1$wgt_name)))
i <- append(i, list(feols(sum_patents_pc_1900_f_w ~ 1 | gisjoin_1900^namelast_mp + namelast_mp^year + statefip^year + gisjoin_1900[year] | entropy_namelast_mp_adjp_ws + sum_n_namelast_mp_adjp_ws ~ iv_lo_entropy_namelast_mp_adjp_fe_immig_ws + iv_lo_sum_n_namelast_mp_adjp_fe_immig_tr_ws, d2, weights = d2$wgt_name)))
i <- append(i, list(feols(sum_patents_pc_1900_f_w ~ 1 | gisjoin_1900^namelast_mp + namelast_mp^year + statefip^year + gisjoin_1900[year] | entropy_namelast_mp_adjp_ws + sum_n_namelast_mp_adjp_ws ~ iv_lo_entropy_namelast_mp_adjp_fe_immig_ws + iv_lo_sum_n_namelast_mp_adjp_fe_immig_tr_ws, d3, weights = d3$wgt_name)))
i <- append(i, list(feols(sum_break_p80_rrfsim05_pc_1900_f_w ~ 1 | gisjoin_1900^namelast_mp + namelast_mp^year + statefip^year + gisjoin_1900[year] | entropy_namelast_mp_adjp_ws + sum_n_namelast_mp_adjp_ws ~ iv_lo_entropy_namelast_mp_adjp_fe_immig_ws + iv_lo_sum_n_namelast_mp_adjp_fe_immig_tr_ws, d1, weights = d1$wgt_name)))
i <- append(i, list(feols(sum_break_p80_rrfsim05_pc_1900_f_w ~ 1 | gisjoin_1900^namelast_mp + namelast_mp^year + statefip^year + gisjoin_1900[year] | entropy_namelast_mp_adjp_ws + sum_n_namelast_mp_adjp_ws ~ iv_lo_entropy_namelast_mp_adjp_fe_immig_ws + iv_lo_sum_n_namelast_mp_adjp_fe_immig_tr_ws, d2, weights = d2$wgt_name)))
i <- append(i, list(feols(sum_break_p80_rrfsim05_pc_1900_f_w ~ 1 | gisjoin_1900^namelast_mp + namelast_mp^year + statefip^year + gisjoin_1900[year] | entropy_namelast_mp_adjp_ws + sum_n_namelast_mp_adjp_ws ~ iv_lo_entropy_namelast_mp_adjp_fe_immig_ws + iv_lo_sum_n_namelast_mp_adjp_fe_immig_tr_ws, d3, weights = d3$wgt_name)))


# F-statistics
dstata <- d1[, .(
  x1 = entropy_namelast_mp_adjp_ws, z1 = iv_lo_entropy_namelast_mp_adjp_fe_immig_ws,
  x2 = sum_n_namelast_mp_adjp_ws, z2 = iv_lo_sum_n_namelast_mp_adjp_fe_immig_tr_ws,
  y1 = sum_patents_pc_1900_f_w, y2 = sum_break_p80_rrfsim05_pc_1900_f_w,
  gisjoin_1900_f, statefip_f, year_f, year_num, namelast_mp_f, wgt_name
)]
commands <- list(
  'ivreghdfe y1 (x1 x2= z1 z2) [pw = wgt_name], absorb(gisjoin_1900_f gisjoin_1900_f#namelast_mp_f statefip_f#year_f year_f#namelast_mp_f c.year_num##gisjoin_1900_f) cluster(statefip_f) first ffirst savefirst
   gen swf1 = .
   gen swf2 = .
   replace swf1 = round(e(first)["SWF",1])
   replace swf2 = round(e(first)["SWF",2])
   keep swf*
   keep if _n == 1'
)
swf_results <- as.character(unlist(lapply(commands, get_fstat_from_stata, data.in = dstata)))

dstata <- d2[, .(
  x1 = entropy_namelast_mp_adjp_ws, z1 = iv_lo_entropy_namelast_mp_adjp_fe_immig_ws,
  x2 = sum_n_namelast_mp_adjp_ws, z2 = iv_lo_sum_n_namelast_mp_adjp_fe_immig_tr_ws,
  y1 = sum_patents_pc_1900_f_w, y2 = sum_break_p80_rrfsim05_pc_1900_f_w,
  gisjoin_1900_f, statefip_f, year_f, year_num, namelast_mp_f, wgt_name
)]
commands <- list(
  'ivreghdfe y1 (x1 x2= z1 z2) [pw = wgt_name], absorb(gisjoin_1900_f gisjoin_1900_f#namelast_mp_f statefip_f#year_f year_f#namelast_mp_f c.year_num##gisjoin_1900_f) cluster(statefip_f) first ffirst savefirst
   gen swf1 = .
   gen swf2 = .
   replace swf1 = round(e(first)["SWF",1])
   replace swf2 = round(e(first)["SWF",2])
   keep swf*
   keep if _n == 1'
)
temp <- as.character(unlist(lapply(commands, get_fstat_from_stata, data.in = dstata)))
swf_results <- append(swf_results, temp)

dstata <- d3[, .(
  x1 = entropy_namelast_mp_adjp_ws, z1 = iv_lo_entropy_namelast_mp_adjp_fe_immig_ws,
  x2 = sum_n_namelast_mp_adjp_ws, z2 = iv_lo_sum_n_namelast_mp_adjp_fe_immig_tr_ws,
  y1 = sum_patents_pc_1900_f_w, y2 = sum_break_p80_rrfsim05_pc_1900_f_w,
  gisjoin_1900_f, statefip_f, year_f, year_num, namelast_mp_f, wgt_name
)]
commands <- list(
  'ivreghdfe y1 (x1 x2= z1 z2) [pw = wgt_name], absorb(gisjoin_1900_f gisjoin_1900_f#namelast_mp_f statefip_f#year_f year_f#namelast_mp_f c.year_num##gisjoin_1900_f) cluster(statefip_f) first ffirst savefirst
   gen swf1 = .
   gen swf2 = .
   replace swf1 = round(e(first)["SWF",1])
   replace swf2 = round(e(first)["SWF",2])
   keep swf*
   keep if _n == 1'
)
temp <- as.character(unlist(lapply(commands, get_fstat_from_stata, data.in = dstata)))
swf_results <- append(swf_results, temp)
swfstat <- rep(swf_results, times = 2)


# Create table
y1 <- paste0("\\makecell{Patents \\\\\ per 1,000 people}")
y2 <- paste0("\\makecell{Breakthrough patents \\\\\ per 1,000 people}")

setFixest_dict(
  c(
    entropy_namelast_mp_adjp_ws = "Surname diversity",
    iv_lo_entropy_namelast_mp_adjp_fe_immig_ws = "Predicted surname diversity",
    sum_n_namelast_mp_adjp_ws = "Population",
    iv_lo_sum_n_namelast_mp_adjp_fe_immig_tr_ws = "Predicted population",
    sum_patents_pc_1900_f_w = y1, sum_break_p80_rrfsim05_pc_1900_f_w = y2,
    year = "Period", statefip = "State", namelast_mp = "Surname", gisjoin_1900 = "County"
  )
)

tablename <- file.path(poutputappendix, "tableB34.tex")
etable(o,
  cluster = ~statefip,
  fitstat = ~n,
  digits = "r3", digits.stats = "r3",
  file = tablename, replace = TRUE,
  style.tex = style.tex("aer"), tex = TRUE
)
edit_table_content_fixed(tablename, "Period $\\times $ County", "County-specific linear trends")
add_table_row(tablename, "\\midrule", "\\multicolumn{2}{l}{\\textit{Panel A: Least-squares estimates}} &  \\multicolumn{5}{c}{}\\\\ \\cmidrule(lr){1-7}")
add_table_row(tablename, "Patents", "\\cmidrule(lr){2-4}  \\cmidrule(lr){5-7}")
move_table_row(tablename, "Observations", "bottomrule")
add_table_row(tablename, "    \\\\", c("\\multicolumn{2}{l}{\\textit{Panel B: Reduced-form estimates}} &  \\multicolumn{5}{c}{}\\\\", "\\\\", "\\multicolumn{2}{l}{\\textit{Panel C: Instrumental-variable estimates}} &  \\multicolumn{5}{c}{}\\\\", "\\\\", "\\multicolumn{2}{l}{\\textit{Panel D: First-stage estimates}} &  \\multicolumn{5}{c}{}\\\\"))
add_table_row(tablename, "Observations", c("Dropping top \\% of counties & 5\\% & 10\\% & 20\\% & 5\\% & 10\\% & 20\\% \\\\"))

temptable <- file.path(poutputappendix, "temp.tex")
etable(r,
  cluster = ~statefip,
  fitstat = ~n,
  digits = "r3", digits.stats = "r3",
  file = temptable, replace = TRUE,
  style.tex = style.tex("aer"), tex = TRUE
)
estimates_rows <- get_estimates_rows(temptable)
add_table_row(tablename, "Panel B", c("\\cmidrule(lr){1-7}", estimates_rows))

temptable <- file.path(poutputappendix, "temp.tex")
etable(i,
  cluster = ~statefip,
  fitstat = ~n,
  digits = "r3", digits.stats = "r3",
  extralines = list("Sanderson-Windmeijer \\textit{F}-stat" = swfstat),
  file = temptable, replace = TRUE,
  style.tex = style.tex("aer"), tex = TRUE
)
estimates_rows <- get_estimates_rows(temptable)
add_table_row(tablename, "Panel C", c("\\cmidrule(lr){1-7}", estimates_rows))
add_table_row(tablename, "Sanderson", "\\\\", "before")

temptable <- file.path(poutputappendix, "temp.tex")
etable(i,
  stage = 1,
  cluster = ~statefip,
  fitstat = ~n, digits = "r3", digits.stats = "r3",
  file = temptable, replace = TRUE,
  style.tex = style.tex("aer"), tex = TRUE
)
estimates_rows <- get_estimates_rows(temptable)
estimates_rows <- collapse_stage1(estimates_rows, c(2, 4, 6, 3, 5, 7))
add_table_row(tablename, "Panel D", estimates_rows)
add_table_row(tablename, "Panel D", c("\\cmidrule(lr){1-7}", "& \\multicolumn{3}{c}{Surname diversity} & \\multicolumn{3}{c}{Population}\\\\", "\\cmidrule(lr){2-4}  \\cmidrule(lr){5-7}"))
remove_table_row(tablename, "County fixed")
file.remove(temptable)

cat("Table B34 saved to:", tablename, "\n")
